CN113706739B - Remote fault diagnosis processing method, platform and system - Google Patents
Remote fault diagnosis processing method, platform and system Download PDFInfo
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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Abstract
The invention relates to the technical field of equipment monitoring, and provides a remote fault diagnosis processing method, a remote fault diagnosis processing platform and a remote fault diagnosis processing system. The remote fault diagnosis processing method comprises the following steps: acquiring equipment uploading information; the equipment uploading information comprises equipment failure information and/or equipment maintenance information; analyzing the information uploaded by the equipment to obtain an analysis result; endowing a push mark to the information uploaded by the equipment according to the analysis result; and pushing the equipment uploading information to a pushing object according to the pushing mark. The implementation method provided by the invention simplifies the alarm push configuration process of the system and improves the configuration flexibility of the push list of the fault.
Description
Technical Field
The invention relates to the technical field of equipment monitoring, in particular to a remote fault diagnosis processing method, a remote fault diagnosis processing platform and a remote fault diagnosis processing system.
Background
With the development of control technology and communication technology, the control system of the engineering machine gradually develops towards the direction of a CAN bus architecture and automatic construction, and the control system is more and more complex, and how to realize self-diagnosis of machine faults and remotely and quickly guide service becomes a new trend.
The existing system only realizes the pushing of fault information and maintenance information, the service management and the reservation management of maintenance, and lacks the classified management of equipment faults; and a query library of a detailed fault solution and maintenance method is not communicated with the interaction, so that a service engineer or a user cannot be quickly instructed to quickly solve the problem in the equipment fault or maintenance process.
Disclosure of Invention
In view of the above, the present invention is directed to a method, a platform and a system for remote fault diagnosis processing, so as to at least partially solve the above technical problems.
In order to achieve the above object, the present invention provides a remote fault diagnosis processing method, including: acquiring equipment uploading information; the equipment uploading information comprises equipment failure information and/or equipment maintenance information; analyzing the information uploaded by the equipment to obtain an analysis result; endowing a push mark to the information uploaded by the equipment according to the analysis result; the push mark is used for determining a push list; and pushing the equipment uploading information to a pushing object in the pushing list.
Preferably, the obtaining of the device upload information includes: acquiring running state information of equipment through detection units distributed on the equipment; screening out equipment fault information and/or equipment maintenance information in the running state information according to a preset rule to serve as equipment uploading information; and acquiring the equipment uploading information through a communication link.
Preferably, the analyzing the information uploaded by the device to obtain an analysis result includes: judging that the equipment uploading information is equipment fault information or equipment maintenance information; if the equipment failure information is the equipment failure information, matching the equipment failure information with a failure library to obtain a risk level corresponding to the equipment failure information, and taking the risk level as the analysis result; and if the equipment maintenance information is the equipment maintenance information, matching the equipment maintenance information with a maintenance library to obtain a maintenance early warning corresponding to the equipment maintenance information, and taking the maintenance early warning as the analysis result.
Preferably, the trouble repository and the maintenance repository are further configured to: responding to the received fault query request or maintenance query request; and returning to the corresponding fault elimination method or maintenance implementation method.
Preferably, the risk level includes: defining risk levels for operational risks posed to the equipment from equipment failure information, the risk levels configured to include "outage failures," cautionary failures, "and" suggestive alarms.
Preferably, the push flag includes: the role attribute of the push object, the preset number corresponding to the role attribute and the storage address of the push object.
Preferably, the role attributes of the push object include: equipment operators, equipment managers, equipment owners and equipment maintainers; the storage address of the push object comprises: and storing a network address, a platform address or a database address of the corresponding relation between the equipment and the push object.
Preferably, the pushing the device upload information to a push object in the push list includes: sending a query instruction to the storage address of the pushed object; obtaining the push addresses of the push objects with the preset number under the role attribute according to the feedback of the query instruction; combining the obtained push addresses into a push list; and pushing the equipment uploading information according to the pushing list.
Preferably, obtaining the push addresses of the preset number of push objects under the role attribute includes: at least one push object under the role attribute is obtained through query; acquiring a first push address of each push object; and if the quantity of the obtained first push addresses in the sequencing is smaller than the preset quantity, continuously and sequentially obtaining the subsequent push addresses of each push object until the push addresses with the preset quantity are obtained under the role attribute.
In a second aspect of the invention, a remote fault diagnosis processing platform comprises: at least one processor; a memory coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the aforementioned remote fault diagnosis processing method by executing the instructions stored by the memory.
Preferably, the remote fault diagnosis processing platform is a big data server.
In a third aspect of the present invention, there is also provided a remote fault diagnosis processing system, including: the aforementioned big data server; the Internet of things server is in communication coupling with the big data server and is used for uploading information from equipment in real time; and at least one of the following platforms: the equipment operation monitoring platform is used for storing an equipment operator corresponding to the equipment currently; the device management platform is used for storing a device manager and/or a device owner corresponding to the device currently; and the equipment customer service platform is used for storing the equipment maintainer corresponding to the equipment currently.
In a fourth aspect of the present invention, there is also provided a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the aforementioned remote failure diagnosis processing method.
Compared with the prior art, the remote fault diagnosis processing method provided by the embodiment of the invention has the following beneficial effects:
the implementation mode provided by the invention can flexibly configure the push list, realizes the active push of equipment failure and maintenance information, solves various problems in the existing push list generation mode, further can actively and quickly help a user to solve the problems of equipment, and saves the service cost and the use cost of the equipment.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a remote fault diagnosis processing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus in a remote fault diagnosis processing method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of an implementation of a remote fault diagnosis processing method according to an embodiment of the present invention;
FIG. 4 is a schematic deployment diagram of a remote fault diagnosis processing platform provided by an embodiment of the invention;
fig. 5 is a schematic structural diagram of a remote fault diagnosis processing system according to an embodiment of the present invention.
Detailed Description
In addition, the embodiments of the present invention and the features of the embodiments may be combined with each other without conflict.
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic flowchart of a remote fault diagnosis processing method according to an embodiment of the present invention, as shown in fig. 1. A processing method of a remote fault diagnosis system, the processing method comprising:
s01, acquiring equipment uploading information; the equipment uploading information comprises equipment fault information and/or equipment maintenance information;
the acquiring of the device upload information here includes device upload information received in a wireless or wired manner, and the device upload information may be acquired by real-time monitoring. The device upload information may be device failure information, i.e. information that the detection value exceeds a set threshold or that it does not comply with a preset control logic. The device upload information may also be device maintenance information, i.e., device status or device performance parameters obtained during routine maintenance of the device.
S02, analyzing the information uploaded by the equipment to obtain an analysis result;
the device upload information needs to be parsed to determine the severity of the device upload information. The risk of the device caused by uploading information by different devices is different, and the risk corresponds to different alarm measures and protection measures. The risk classification here can be based on artificial setting, and the set progression is not fixed, so as to accurately and comprehensively reflect the risks corresponding to different fault information.
S03, giving a push mark to the information uploaded by the equipment according to the analysis result; the push mark is used for determining a push list;
the fault pushing in the prior art is mostly based on preset alarm rules. However, the fixed setting of the alarm rule cannot adapt to the rapid change of the use scene, and the information interaction with other platforms is also lacked. For example: the daily operators of the same device are variable and cannot perform a fixed alarm push. The current operator of equipment can be recorded in the existing safety monitoring system, so that the real-time operator information can be acquired through linkage of the safety monitoring system. Therefore, the push flag in this embodiment is different from the push list, and only specifies the acquisition specification of the push list, and the push list is generated before actual push, so flexible push in a fixed format can be implemented.
S04, pushing the equipment uploading information to a pushing object in the pushing list;
the same push object may include multiple push modes to get push in different ways. The push list is a set of multiple push addresses, and the push addresses include a mobile phone number, an APP account, a display terminal, and the like. The push flag here may include a preset push template, a number of a push rule, and a set of multiple indication bits. The method comprises the steps that a pushing object obtains the equipment fault information through a mobile terminal or a fixed terminal by means of sending voice, short messages or information to a pushing address in a pushing list, and then is informed.
Through the implementation mode, analysis can be performed according to the reported equipment uploading information, and the push list is determined according to the push mark, so that inflexibility of fault information push through a preset push list in the prior art is avoided. According to the embodiment, information linkage of different objects such as a mobile phone, an equipment manager, a service engineer and the like can be realized, and accurate pushing and on-demand pushing of equipment fault information are further realized.
Fig. 2 is a schematic structural diagram of a device in the remote fault diagnosis processing method according to the embodiment of the present invention, as shown in fig. 2. In this embodiment, the acquiring the device upload information includes: acquiring running state information of equipment through detection units distributed in the equipment; screening out equipment fault information and/or equipment maintenance information in the running state information according to a preset rule, and taking the equipment fault information and/or the equipment maintenance information as equipment uploading information; and acquiring the equipment uploading information through a communication link. Specifically, a system with an intelligent detection unit, such as a vehicle-mounted controller, an engine controller and the like, detects the running state of a machine in real time through a sensor carried by the system, judges according to preset parameters and control logic, and when a detected value exceeds a preset threshold value or does not accord with the preset control logic, an intelligent control device sends detected working condition data and fault information on a CAN bus according to a preset working condition data format, suspicious parameters and a failure mode on the CAN bus in a mode of being in accordance with a J1939 standard, a remote terminal T _ BOX acquires equipment working condition data on the CAN bus and uploads the equipment working condition data to an Internet of things platform through a GPRS network, and meanwhile, when the fault information detected by each intelligent device on the equipment changes, the fault information is acquired and uploaded to the Internet of things platform through the GPRS network, wherein the change comprises the following steps: when the occurrence or termination or the front and back states are inconsistent. The preset rule is that when the detected value exceeds a preset threshold or does not accord with a preset control logic, the execution main body of the preset rule can be a preset alarm filtering unit besides the intelligent detection unit of the vehicle-mounted controller, the engine controller and the like. The communication link herein can be a wired or wireless transmission link in other prior art besides the aforementioned GPRS network, including but not limited to WIFI, GPRS, 4G, 5G, NB-IOT, etc. And the remote terminal T _ BOX acquires the working condition data of the equipment on the CAN bus, the acquisition objects comprise an engine controller, a vehicle controller and the like, and the equipment fault information on the CAN bus is sent to the server.
In an embodiment provided by the present invention, the analyzing the information uploaded by the device to obtain an analysis result includes: judging that the equipment uploading information is equipment fault information or equipment maintenance information; if the equipment failure information is the equipment failure information, matching the equipment failure information with a failure library to obtain a risk level corresponding to the equipment failure information, and taking the risk level as the analysis result; and if the equipment maintenance information is the equipment maintenance information, matching the equipment maintenance information with a maintenance library to obtain a maintenance early warning corresponding to the equipment maintenance information, and taking the maintenance early warning as the analysis result. The embodiment analyzes the different uploaded information contents of the equipment respectively. The equipment fault information can be mainly identified and matched through the fault ID, and the equipment maintenance information can be mainly identified and matched through the maintenance time. And analyzing and matching different databases to obtain an analysis result. The analysis result is used as a data base for endowing the push mark, and different analysis results can correspond to different push marks.
In one embodiment of the present invention, the trouble repository and the maintenance repository are further configured to: responding to the received fault query request or maintenance query request; and returning to the corresponding fault elimination method or maintenance implementation method. The fault library and the maintenance library in the above embodiment can provide not only matching and analysis of information uploaded by the device but also an inquiry function opened to the outside. Different users can inquire the fault elimination and maintenance method through inputting the model, the fault code or the fault phenomenon through the PC or the APP. The receiving here includes obtaining the request locally and obtaining the request remotely. The user is not limited to the user of the device, and includes a system account to which a device manager, a service manager, and the like are granted a query authority. Through the configuration in the embodiment, various accesses to the fault library and the maintenance library are realized, and convenience is provided for guiding a user to maintain the equipment.
In one embodiment of the present invention, the risk level includes: operational risks posed to the equipment from equipment failure information, the risk levels configured to include "outage failures," cautionary failures, "and" suggestive alarms. In specific implementation, the equipment fault information can be divided into three levels: the first level is highest. The primary fault is set to: a shutdown failure, i.e., continued use, poses a significant safety risk to the machine; the secondary fault is set to: a warning failure, i.e. continued use poses a certain risk to the machine; the tertiary fault is set to: and the machine is not risked by the aid of the suggestive faults and continuous use. Those skilled in the art can increase or decrease the risk level according to the actual situation of the field, and can configure different alarm state displays according to different risk levels. For example, the alarm state of the primary fault is configured to: flashing an icon and prompting by scrolling characters; simultaneously, sounding a buzzer; the alarm state of the secondary fault is configured to: flashing an icon and prompting by scrolling characters; the alarm state for a three-level fault is configured to: the display does not prompt and only displays in the list.
In one embodiment of the present invention, the push flag includes: the role attribute of the push object, the preset number corresponding to the role attribute and the storage address of the push object. The push marks are set to be in a fixed format, so that the push marks are uniform. The fixed format here can be a one-dimensional array or a generic template. The push mark avoids the problem of inconvenient modification caused by fixed setting in the prior art.
In an embodiment provided by the present invention, the role attribute of the push object includes: equipment operators, equipment managers, equipment owners and equipment maintainers; the storage address of the push object comprises: and storing a network address, a platform address or a database address of the corresponding relation between the equipment and the push object. In the present embodiment, the present invention is not limited to the actual push object, but is limited to the role attribute. For example, the operator of the device may be a, b or c, with the actual operator being different each day. When the actual operator can set the mobile phone number of the user through the machine instrument, the information of the actual operator can be recorded in a specific database, network location or monitoring platform. And the storage address of the push object here is the access location of the specific database, network or monitoring platform. And obtaining the current actual operator by inquiring the access position. Therefore, the problems of pushing errors and the like caused by setting a fixed pushing object are avoided.
In an embodiment provided by the present invention, pushing the device upload information to a push object in the push list includes: sending a query instruction to the storage address of the push object; obtaining the push addresses of the push objects with the preset number under the role attribute according to the feedback of the query instruction; combining the obtained push addresses into a push list; and pushing the equipment uploading information according to the pushing list. In an actual scene, the operation information and the maintenance information of the equipment belong to different platforms. Therefore, the embodiment queries the storage address to obtain a specific push list. For example: inquiring the push address of a maintainer from a customer service database of an equipment manufacturer, inquiring the push address of an operator from an equipment operation monitoring system, and inquiring the push address of a manager from an equipment management platform. The storage address of a specific platform needs to be configured according to the actual situation of the monitoring system of the field device.
In an embodiment provided by the present invention, obtaining push addresses of a preset number of push objects under a role attribute includes: at least one push object under the role attribute is obtained through query; acquiring a first sequencing push address of each push object; and if the quantity of the obtained first push addresses in the sequencing is smaller than the preset quantity, continuously and sequentially obtaining the subsequent push addresses of each push object until the push addresses with the preset quantity are obtained under the role attribute. In general, there is more than one person for each push object under each role attribute, and there is more than one push address for each push object, including: the system comprises a mobile phone number, an APP account, a monitoring terminal and the like, wherein the push addresses are stored in the system in sequence. It is therefore necessary to determine the push range among a plurality of push addresses. For example, when the device fault information is pushed to a device manager, only the first-ranked push address of the first device manager is obtained when the preset number is 1; when the preset number is equal to the number of the device managers, the first push address of each device manager is obtained. When the preset number is more, the first sequencing push address of each equipment manager needs to be acquired first, after the first sequencing push addresses with the same number as the equipment managers are acquired, the preset number is not reached, the second sequencing push addresses of the equipment managers are acquired in sequence, and if the preset number is not reached, the third sequencing push address continues to be acquired, and so on. The rest equipment operators, equipment owners and equipment maintainers all adopt the mode, so that fixed pushing configuration is avoided, and different pushing objects can be pushed with equipment fault information in a plurality of different ways through reasonable setting.
In an embodiment provided by the present invention, the processing method further includes: acquiring the occurrence time of the equipment maintenance information; determining that the difference between the occurrence time and the last equipment maintenance time exceeds a set threshold; and pushing the maintenance reminding of the equipment to the pushing address in the pushing list. In the present embodiment, the device failure information is pushed and also associated with the maintenance record of the device. When the time for which the equipment is maintained for the last time is too long, maintenance information needs to be pushed to the equipment. Therefore, different objects are pushed in advance to realize active maintenance service for the client.
Fig. 3 is a schematic implementation flow diagram of a remote fault diagnosis processing method according to an embodiment of the present invention, as shown in fig. 3. The embodiment comprises the following steps: the intelligent control device carries out data acquisition and preliminary judgment; uploading data; analyzing and displaying the data; pushing fault information to different objects; and querying the fault information by a user.
In an embodiment of the present invention, a processing platform of a remote fault diagnosis system is further provided, including: at least one processor; a memory coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the processing method of the remote fault diagnosis system by executing the instructions stored by the memory. The control module or processor herein has the functions of numerical calculation and logical operation, and it has at least a central processing unit CPU, a random access memory RAM, a read only memory ROM, various I/O ports and interrupt systems, etc. of data processing capability. The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the method is realized by adjusting the kernel parameters. The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), including at least one memory chip.
Fig. 4 is a schematic deployment diagram of a remote fault diagnosis processing platform provided in the embodiment of the present invention, as shown in fig. 4. In this embodiment, the processing platform is a big data server; the running hardware carrier is a server, preferably a server with a database and a big data analysis function. The big data server is mainly used for analyzing and processing the information uploaded by the equipment. The system is matched with other servers, such as the internet of things server in fig. 4, to be used for pushing the information uploaded by the equipment to different users.
Fig. 5 is a schematic structural diagram of a remote fault diagnosis processing system according to an embodiment of the present invention, as shown in fig. 5. In this embodiment, a remote fault diagnosis processing system is further provided, where the processing system includes the big data server and an internet of things server in communication connection with the big data server, and is configured to upload information from a device obtained by the device in real time; and at least one of the following platforms: the equipment operation monitoring platform is used for storing an equipment operator corresponding to the equipment currently; the device management platform is used for storing a device manager and/or a device owner corresponding to the device currently; and the equipment customer service platform is used for storing the equipment maintainer corresponding to the equipment currently. The processing platform is connected with other platforms through a network and realizes data exchange. The device operation monitoring platform, the device management platform and the device customer service platform can be owned by other users or existing platforms. The designation of the platform does not constitute a limitation on the platform, with the information provided by it, such as the operator of the device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A remote fault diagnosis processing method, characterized in that the processing method comprises:
acquiring equipment uploading information; the equipment uploading information comprises equipment failure information and/or equipment maintenance information;
analyzing the information uploaded by the equipment to obtain an analysis result;
endowing a push mark to the information uploaded by the equipment according to the analysis result; the push mark is used for determining a push list, and comprises the following steps: the role attribute of the pushed object, the preset number corresponding to the role attribute and the storage address of the pushed object;
pushing the device upload information to a push object in the push list, including: sending a query instruction to the storage address of the pushed object; obtaining the push addresses of the push objects with preset number under the role attribute according to the feedback of the query instruction; combining the obtained push addresses into a push list; and pushing the equipment uploading information according to the pushing list.
2. The processing method according to claim 1, wherein the obtaining of the device upload information comprises:
acquiring running state information of equipment through detection units distributed in the equipment;
screening out equipment fault information and/or equipment maintenance information in the running state information according to a preset rule to serve as equipment uploading information;
and acquiring the equipment uploading information through a communication link.
3. The processing method according to claim 1, wherein the analyzing the device upload information to obtain an analysis result comprises:
judging that the equipment uploading information is equipment fault information or equipment maintenance information;
if the equipment failure information is the equipment failure information, matching the equipment failure information with a failure library to obtain a risk level corresponding to the equipment failure information, and taking the risk level as the analysis result;
and if the equipment maintenance information is the equipment maintenance information, matching the equipment maintenance information with a maintenance library to obtain a maintenance early warning corresponding to the equipment maintenance information, and taking the maintenance early warning as the analysis result.
4. The process of claim 3, wherein the trouble and service libraries are further configured to:
responding to the received fault query request or maintenance query request;
and returning to the corresponding fault elimination method or maintenance implementation method.
5. The process of claim 3, wherein the risk level comprises:
defining risk levels for operational risks posed to the equipment from equipment failure information, the risk levels configured to include "outage failures," cautionary failures, "and" suggestive alarms.
6. The processing method according to claim 1, wherein the role attributes of the push object comprise: equipment operators, equipment managers, equipment owners and equipment maintainers;
the storage address of the push object comprises: and a network address, a platform address or a database address of the corresponding relation between the equipment and the push object is stored.
7. The processing method according to claim 1, wherein obtaining the push addresses of a preset number of push objects under the role attribute comprises:
at least one pushing object under the role attribute is obtained through query;
acquiring a first sequencing push address of each push object;
and if the quantity of the obtained first push addresses in the sequencing is smaller than the preset quantity, continuously and sequentially obtaining the subsequent push addresses of each push object until the push addresses with the preset quantity are obtained under the role attribute.
8. A remote fault diagnosis processing platform, comprising:
at least one processor; a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the remote fault diagnosis processing method of any one of claims 1 to 7 by executing the instructions stored by the memory.
9. The remote fault diagnosis processing platform according to claim 8, characterized in that the remote fault diagnosis processing platform is a big data server.
10. A remote fault diagnosis processing system, the processing system comprising:
the big data server of claim 9;
the Internet of things server is in communication coupling with the big data server and is used for uploading information from equipment acquired by the equipment in real time; and at least one of the following platforms:
the equipment operation monitoring platform is used for storing an equipment operator corresponding to the equipment currently;
the device management platform is used for storing a device manager and/or a device owner corresponding to the device currently;
and the equipment customer service platform is used for storing the equipment maintainer corresponding to the equipment currently.
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